GM
Giovanni Montana
stat.MLcs.LGstat.APcs.CVstat.MEcs.AIq-bio.NCcs.MAAlgorithmscs.RO
On Valency
published · living versionsW_hxpqsq9m·v1 · currentpublished
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
with James H Cole, Rudra PK Poudel, Dimosthenis Tsagkrasoulis, Matthan WA Caan +2
1 version
Preprints & journals
152 papers in the corpus · 2005–2026Image-Segmentation-Guided Fragmentized Steel Scrap Tramp Material Characterization.42499476 · Quan, Yijun, Singhal, Sanjay, Li, Zushu et al.2026 · 0 citationsJournal of sustainable metallurgy. 2026;12(4):4399-4408
Life event trajectories and suicidal ideation throughout adolescence: a prospective cohort study from Germany, France, Ireland, and the UK.41720571 · Chen, Pei-Jung, Lawrence, Andrew J, Ma, Xuemei et al.2026 · 3 citationsThe lancet. Psychiatry. 2026;13(3):190-199
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets2607.05179v1 · Enrique Adrian Villarrubia-Martin, David Munoz-Valero, Luis Rodriguez-Benitez et al.2026 · 0 citationsarXiv
Learning Partial Action Replacement in Offline MARL2603.28573v1 · Yue Jin, Giovanni Montana2026 · 0 citationsarXiv
Person Parametric Physics-informed Representation for mmWave-based Human Pose Estimation2512.23054v4 · Shuntian Zheng, Jiaqi Li, Guangming Wang et al.2025 · 0 citationsarXiv
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations2509.15981v2 · Yujie Zhu, Charles A. Hepburn, Matthew Thorpe et al.2025 · 0 citationsarXiv
Efficient Verified Machine Unlearning For Distillation2503.22539v2 · Yijun Quan, Zushu Li, Giovanni Montana2025 · 0 citationsarXiv
Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning2501.08234v2 · Enrique Adrian Villarrubia-Martin, Luis Rodriguez-Benitez, David Munoz-Valero et al.2025 · 4 citationsarXiv
State-Constrained Offline Reinforcement Learning2405.14374v2 · Charles A. Hepburn, Yue Jin, Giovanni Montana2024 · 0 citationsTransactions on Machine Learning Research (05/2025)
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing2412.12326v2 · Yue Jin, Shuangqing Wei, Giovanni Montana2024 · 5 citationsarXiv
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI.34109327 · Byrne, Nick, Clough, James R, Montana, Giovanni et al.2025 · 24 citationsStatistical atlases and computational models of the heart. STACOM (Workshop). 2020;2020:3-13
The eBRAIN study: The impact of early adversity on trajectories of brain maturation and mental health in young adolescents - A prospective cohort study.36388138 · Pollard, Rebecca, Chen, Pei Jung, Mackes, Nuria et al.2025 · 3 citationsBrain, behavior, & immunity - health. 2022;26:100539
An optimization framework to guide the choice of thresholds for risk-based cancer screening.38017184 · Brentnall, Adam R, Atakpa, Emma C, Hill, Harry et al.2025 · 14 citationsNPJ digital medicine. 2023;6(1):223
Investigating Relational State Abstraction in Collaborative MARL2412.15388v1 · Sharlin Utke, Jeremie Houssineau, Giovanni Montana2024 · 1 citationProceedings of the AAAI Conference on Artificial Intelligence, Vol. 39 No. 20 (2025), 20947-20955
Increasing transparency of computer-aided detection impairs decision-making in visual search.39448515 · Kunar, Melina A, Montana, Giovanni, Watson, Derrick G2025 · 9 citationsPsychonomic bulletin & review. 2025;32(2):951-960
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning2412.03258v2 · Mianchu Wang, Yue Jin, Giovanni Montana2024 · 1 citationarXiv
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces2411.11088v1 · Alex Beeson, David Ireland, Giovanni Montana2024 · 0 citationsarXiv
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning2411.11099v1 · Ting Zhu, Yue Jin, Jeremie Houssineau et al.2024 · 0 citationsarXiv
Decoding viewer emotions in video ads.39487244 · Antonov, Alexey, Kumar, Shravan Sampath, Wei, Jiefei et al.2024 · 8 citationsScientific reports. 2024;14(1):26382
Increasing Transparency of Computer Aided Detection Impairs Decision Making in Visual Searchxf5u8_v1 · Melina Kunar, Derrick Watson, Giovanni Montana2024 · 9 citationsPsyArXiv
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning2303.09367v2 · Mianchu Wang, Yue Jin, Giovanni Montana2023 · 1 citationMachine Learning (ECML-PKDD 2023 Journal Track)
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes2401.08850v2 · David Ireland, Giovanni Montana2024 · 0 citationsarXiv
Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case-control study.38326868 · Santeramo, Ruggiero, Damiani, Celeste, Wei, Jiefei et al.2024 · 33 citationsBreast cancer research : BCR. 2024;26(1):25
Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications.38074779 · Macpherson, Matthew S, Hutchinson, Charles E, Horst, Carolyn et al.2024 · 10 citationsRadiology. Artificial intelligence. 2023;5(6):e230019
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study.38071118 · Cid, Yashin Dicente, Macpherson, Matthew, Gervais-Andre, Louise et al.2023 · 37 citationsThe Lancet. Digital health. 2024;6(1):e44-e57
Evaluation of an AI Model to Assess Future Breast Cancer Risk.37310244 · Damiani, Celeste, Kalliatakis, Grigorios, Sreenivas, Muthyala et al.2023 · 50 citationsRadiology. 2023;307(5):e222679
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks2304.04051v1 · George Watkins, Giovanni Montana, Juergen Branke2023 · 5 citationsarXiv
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning2303.14716v1 · Alex Beeson, Giovanni Montana2023 · 6 citationsarXiv
Real-time diameter of the fetal aorta from ultrasound.32523256 · Savioli, Nicoló, Grisan, Enrico, Visentin, Silvia et al.2023 · 4 citationsNeural computing & applications. 2020;32(11):6735-6744
Learning Multi-Agent Coordination through Connectivity-driven Communication2002.05233v4 · Emanuele Pesce, Giovanni Montana2020 · 14 citationsMachine Learning (December 2022)
Model-based trajectory stitching for improved behavioural cloning and its applications2212.04280v1 · Charles A. Hepburn, Giovanni Montana2022 · 9 citationsarXiv
Mediators and moderators in the relationship between maternal childhood adversity and children's emotional and behavioural development: a systematic review and meta-analysis.35730541 · Ma, Xuemei, Biaggi, Alessandra, Sacchi, Chiara et al.2022 · 56 citationsPsychological medicine. 2022;52(10):1817-1837
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning2211.11802v1 · Alex Beeson, Giovanni Montana2022 · 8 citationsarXiv
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning2211.11603v1 · Charles A. Hepburn, Giovanni Montana2022 · 0 citationsarXiv
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR2107.12689v2 · Nick Byrne, James R Clough, Isra Valverde et al.2021 · 48 citationsarXiv
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians2207.01302v1 · Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani et al.2022 · 3 citationsarXiv
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation2205.10106v1 · David Ireland, Giovanni Montana2022 · 3 citationsarXiv
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations1910.07294v4 · Ozsel Kilinc, Giovanni Montana2019 · 36 citationsarXiv
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals2008.02066v2 · Ozsel Kilinc, Giovanni Montana2020 · 3 citationsarXiv
Automated Knee X-ray Report Generation2105.10702v1 · Aydan Gasimova, Giovanni Montana, Daniel Rueckert2021 · 0 citationsNeurIPS Machine Learning for Health Workshop 2017
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning2009.05104v2 · Henry Charlesworth, Giovanni Montana2020 · 9 citationsarXiv
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods.28373838 · Monti, Ricardo P, Lorenz, Romy, Hellyer, Peter et al.2020 · 11 citationsFrontiers in computational neuroscience. 2017;11:14
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI2008.09585v1 · Nick Byrne, James R. Clough, Giovanni Montana et al.2020 · 24 citationsarXiv
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals2006.00900v1 · Henry Charlesworth, Giovanni Montana2020 · 20 citationsarXiv
Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks.30897046 · Annarumma, Mauro, Withey, Samuel J, Bakewell, Robert J et al.2020 · 64 citationsRadiology. 2019;291(1):272
Adaptive Experience Selection for Policy Gradient2002.06946v1 · Saad Mohamad, Giovanni Montana2020 · 0 citationsarXiv
Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks.30667333 · Annarumma, Mauro, Withey, Samuel J, Bakewell, Robert J et al.2019 · 299 citationsRadiology. 2019;291(1):196-202
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR1908.08870v1 · Nick Byrne, James R. Clough, Isra Valverde et al.2019 · 1 citationarXiv
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity1908.05265v2 · Yang Hu, Giovanni Montana2019 · 4 citationsarXiv
Learning to detect chest radiographs containing lung nodules using visual attention networks1712.00996v3 · Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey et al.2017 · 135 citationsMedical Image Analysis, Vol. 53, pag. 26-38, 2019
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